Overview

Dataset statistics

Number of variables20
Number of observations360
Missing cells0
Missing cells (%)0.0%
Duplicate rows30
Duplicate rows (%)8.3%
Total size in memory56.4 KiB
Average record size in memory160.4 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 01:40:03.439902
Analysis finished2020-08-25 01:40:59.628434
Duration56.19 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

Dataset has 30 (8.3%) duplicate rows Duplicates
14st_coordinate_abcissa is highly correlated with 12st_coordinate_abcissa and 2 other fieldsHigh correlation
12st_coordinate_abcissa is highly correlated with 14st_coordinate_abcissa and 2 other fieldsHigh correlation
6st_coordinate_abcissa is highly correlated with 1st_coordinate_abcissa and 2 other fieldsHigh correlation
1st_coordinate_abcissa is highly correlated with 6st_coordinate_abcissa and 2 other fieldsHigh correlation
23st_coordinate_abcissa is highly correlated with 21st_coordinate_abcissaHigh correlation
21st_coordinate_abcissa is highly correlated with 23st_coordinate_abcissaHigh correlation
18st_coordinate_ordinate is highly correlated with 20st_coordinate_ordinateHigh correlation
20st_coordinate_ordinate is highly correlated with 18st_coordinate_ordinateHigh correlation
7st_coordinate_abcissa is highly correlated with 1st_coordinate_abcissa and 3 other fieldsHigh correlation
3st_coordinate_abcissa is highly correlated with 1st_coordinate_abcissa and 2 other fieldsHigh correlation
10st_coordinate_abcissa is highly correlated with 12st_coordinate_abcissa and 2 other fieldsHigh correlation
15st_coordinate_abcissa is highly correlated with 12st_coordinate_abcissa and 1 other fieldsHigh correlation

Variables

21st_coordinate_abcissa
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count212
Unique (%)58.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5047601388888889
Minimum0.147
Maximum0.88008
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:40:59.675137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.147
5-th percentile0.23017
Q10.3805575
median0.51838
Q30.64023
95-th percentile0.737037
Maximum0.88008
Range0.73308
Interquartile range (IQR)0.2596725

Descriptive statistics

Standard deviation0.1617146612
Coefficient of variation (CV)0.3203792232
Kurtosis-0.8510116722
Mean0.5047601389
Median Absolute Deviation (MAD)0.127655
Skewness-0.1785685413
Sum181.71365
Variance0.02615163165
2020-08-25T01:40:59.786839image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.6460361.7%
 
0.6421751.4%
 
0.6518451.4%
 
0.4100641.1%
 
0.3868541.1%
 
0.6228241.1%
 
0.6170241.1%
 
0.4603541.1%
 
0.6189641.1%
 
0.3733141.1%
 
0.6131541.1%
 
0.6402341.1%
 
0.2475841.1%
 
0.3887841.1%
 
0.576430.8%
 
0.6576430.8%
 
0.3075430.8%
 
0.2417830.8%
 
0.4003930.8%
 
0.3810430.8%
 
0.6092830.8%
 
0.3597730.8%
 
0.4622830.8%
 
0.5241830.8%
 
0.6866530.8%
 
Other values (187)26774.2%
 
ValueCountFrequency (%) 
0.14710.3%
 
0.1644110.3%
 
0.1702110.3%
 
0.1740820.6%
 
0.1818210.3%
 
0.1837510.3%
 
0.1914910.3%
 
0.1953620.6%
 
0.1972910.3%
 
0.2011610.3%
 
ValueCountFrequency (%) 
0.8800820.6%
 
0.8162520.6%
 
0.8007710.3%
 
0.7988410.3%
 
0.7949710.3%
 
0.791110.3%
 
0.7833710.3%
 
0.7814310.3%
 
0.7698310.3%
 
0.7582210.3%
 

12st_coordinate_abcissa
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count218
Unique (%)60.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5119490833333333
Minimum0.10638
Maximum0.9419700000000001
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:40:59.907957image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.10638
5-th percentile0.19536
Q10.36557
median0.50677
Q30.681335
95-th percentile0.79691
Maximum0.94197
Range0.83559
Interquartile range (IQR)0.315765

Descriptive statistics

Standard deviation0.1903892431
Coefficient of variation (CV)0.3718909738
Kurtosis-0.9863211686
Mean0.5119490833
Median Absolute Deviation (MAD)0.15377
Skewness-0.01766870199
Sum184.30167
Variance0.0362480639
2020-08-25T01:41:00.004529image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.4042651.4%
 
0.7582251.4%
 
0.6595741.1%
 
0.508741.1%
 
0.3423641.1%
 
0.3133541.1%
 
0.7040641.1%
 
0.4313341.1%
 
0.2920730.8%
 
0.5435230.8%
 
0.4081230.8%
 
0.6557130.8%
 
0.5996130.8%
 
0.6402330.8%
 
0.3733130.8%
 
0.717630.8%
 
0.4487430.8%
 
0.564830.8%
 
0.3384930.8%
 
0.3829830.8%
 
0.5415930.8%
 
0.4255330.8%
 
0.4603530.8%
 
0.4177930.8%
 
0.7678930.8%
 
Other values (193)27576.4%
 
ValueCountFrequency (%) 
0.1063810.3%
 
0.1237910.3%
 
0.1334610.3%
 
0.152820.6%
 
0.1566710.3%
 
0.1644110.3%
 
0.1702110.3%
 
0.1740810.3%
 
0.1779510.3%
 
0.1798810.3%
 
ValueCountFrequency (%) 
0.9419710.3%
 
0.8839510.3%
 
0.8820110.3%
 
0.8762110.3%
 
0.8607410.3%
 
0.8452610.3%
 
0.8433320.6%
 
0.8394610.3%
 
0.8317210.3%
 
0.8278510.3%
 

28st_coordinate_ordinate
Real number (ℝ≥0)

Distinct count178
Unique (%)49.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5251479444444445
Minimum0.13194
Maximum0.86806
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:00.109236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.13194
5-th percentile0.28935
Q10.4230325
median0.537035
Q30.63657
95-th percentile0.73148
Maximum0.86806
Range0.73612
Interquartile range (IQR)0.2135375

Descriptive statistics

Standard deviation0.1429346753
Coefficient of variation (CV)0.2721798244
Kurtosis-0.4924020025
Mean0.5251479444
Median Absolute Deviation (MAD)0.104165
Skewness-0.3041891631
Sum189.05326
Variance0.0204303214
2020-08-25T01:41:00.230763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.4745461.7%
 
0.5879661.7%
 
0.5578751.4%
 
0.5046351.4%
 
0.6967651.4%
 
0.4189851.4%
 
0.562551.4%
 
0.6365751.4%
 
0.7175941.1%
 
0.6620441.1%
 
0.5532441.1%
 
0.3009341.1%
 
0.4861141.1%
 
0.6273141.1%
 
0.6041741.1%
 
0.703741.1%
 
0.6134341.1%
 
0.4351941.1%
 
0.3888941.1%
 
0.6388941.1%
 
0.7199141.1%
 
0.4652841.1%
 
0.4328730.8%
 
0.5763930.8%
 
0.6782430.8%
 
Other values (153)25370.3%
 
ValueCountFrequency (%) 
0.1319410.3%
 
0.1481510.3%
 
0.1620410.3%
 
0.1828710.3%
 
0.1921320.6%
 
0.2060210.3%
 
0.2083310.3%
 
0.2106510.3%
 
0.2291710.3%
 
0.2361110.3%
 
ValueCountFrequency (%) 
0.8680610.3%
 
0.828710.3%
 
0.8055610.3%
 
0.7800910.3%
 
0.7777810.3%
 
0.7708310.3%
 
0.7685210.3%
 
0.766210.3%
 
0.7569410.3%
 
0.7546310.3%
 

36st_coordinate_abcissa
Real number (ℝ≥0)

Distinct count222
Unique (%)61.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49165615
Minimum0.065764
Maximum0.9168299999999999
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:00.358828image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.065764
5-th percentile0.18182
Q10.3302675
median0.47776
Q30.6619925
95-th percentile0.831817
Maximum0.91683
Range0.851066
Interquartile range (IQR)0.331725

Descriptive statistics

Standard deviation0.2020585998
Coefficient of variation (CV)0.4109754343
Kurtosis-0.9397630214
Mean0.49165615
Median Absolute Deviation (MAD)0.16731
Skewness0.1149691776
Sum176.996214
Variance0.04082767775
2020-08-25T01:41:00.457841image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.4042651.4%
 
0.4158651.4%
 
0.4119941.1%
 
0.3423641.1%
 
0.6711841.1%
 
0.6112241.1%
 
0.6634441.1%
 
0.1818241.1%
 
0.5570641.1%
 
0.5918841.1%
 
0.502941.1%
 
0.6460330.8%
 
0.4622830.8%
 
0.2901430.8%
 
0.7427530.8%
 
0.3926530.8%
 
0.2514530.8%
 
0.5512630.8%
 
0.4003930.8%
 
0.2669230.8%
 
0.2475830.8%
 
0.14730.8%
 
0.3655730.8%
 
0.5338530.8%
 
0.2243730.8%
 
Other values (197)27275.6%
 
ValueCountFrequency (%) 
0.06576410.3%
 
0.08123810.3%
 
0.08704120.6%
 
0.1257310.3%
 
0.1431310.3%
 
0.14730.8%
 
0.1566710.3%
 
0.1605420.6%
 
0.1644120.6%
 
0.1682810.3%
 
ValueCountFrequency (%) 
0.9168310.3%
 
0.9032910.3%
 
0.8994210.3%
 
0.8974910.3%
 
0.8858810.3%
 
0.8800810.3%
 
0.8742710.3%
 
0.8723410.3%
 
0.8704110.3%
 
0.8684710.3%
 

1st_coordinate_abcissa
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count214
Unique (%)59.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5666132472222223
Minimum0.090909
Maximum0.9323
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:00.761198image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.090909
5-th percentile0.1739835
Q10.444875
median0.585105
Q30.7200225
95-th percentile0.83752
Maximum0.9323
Range0.841391
Interquartile range (IQR)0.2751475

Descriptive statistics

Standard deviation0.1989155081
Coefficient of variation (CV)0.3510604616
Kurtosis-0.5068188299
Mean0.5666132472
Median Absolute Deviation (MAD)0.138295
Skewness-0.4503128138
Sum203.980769
Variance0.03956737936
2020-08-25T01:41:00.859317image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.497161.7%
 
0.8355951.4%
 
0.564851.4%
 
0.6789241.1%
 
0.4487441.1%
 
0.6015541.1%
 
0.6595741.1%
 
0.4042641.1%
 
0.3984541.1%
 
0.8375241.1%
 
0.649930.8%
 
0.7350130.8%
 
0.4468130.8%
 
0.5106430.8%
 
0.638330.8%
 
0.367530.8%
 
0.8027130.8%
 
0.7891730.8%
 
0.7427530.8%
 
0.5125730.8%
 
0.5860730.8%
 
0.6692530.8%
 
0.7969130.8%
 
0.7930430.8%
 
0.5493230.8%
 
Other values (189)27175.3%
 
ValueCountFrequency (%) 
0.09090910.3%
 
0.1005810.3%
 
0.1121910.3%
 
0.1141210.3%
 
0.1295910.3%
 
0.135410.3%
 
0.1431310.3%
 
0.1450710.3%
 
0.14720.6%
 
0.1508720.6%
 
ValueCountFrequency (%) 
0.932310.3%
 
0.9187620.6%
 
0.9052210.3%
 
0.9032910.3%
 
0.8955510.3%
 
0.8858810.3%
 
0.8839510.3%
 
0.8762110.3%
 
0.864620.6%
 
0.8607410.3%
 

14st_coordinate_abcissa
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count214
Unique (%)59.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4985655583333333
Minimum0.015474000000000003
Maximum0.9265
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:00.963417image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.015474
5-th percentile0.20474
Q10.34284
median0.50387
Q30.66151
95-th percentile0.7795
Maximum0.9265
Range0.911026
Interquartile range (IQR)0.31867

Descriptive statistics

Standard deviation0.1903071629
Coefficient of variation (CV)0.3817094057
Kurtosis-0.933307865
Mean0.4985655583
Median Absolute Deviation (MAD)0.15764
Skewness-0.04361914425
Sum179.483601
Variance0.03621681627
2020-08-25T01:41:01.059124image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.6615161.7%
 
0.4042651.4%
 
0.4177951.4%
 
0.3791141.1%
 
0.6557141.1%
 
0.220541.1%
 
0.3268941.1%
 
0.2301741.1%
 
0.5841430.8%
 
0.4777630.8%
 
0.3230230.8%
 
0.5435230.8%
 
0.2514530.8%
 
0.5512630.8%
 
0.5589930.8%
 
0.2611230.8%
 
0.6402330.8%
 
0.2127730.8%
 
0.3075430.8%
 
0.2553230.8%
 
0.6731130.8%
 
0.6653830.8%
 
0.6924630.8%
 
0.3636430.8%
 
0.7195430.8%
 
Other values (189)27375.8%
 
ValueCountFrequency (%) 
0.01547410.3%
 
0.07156710.3%
 
0.1025110.3%
 
0.1392610.3%
 
0.1489420.6%
 
0.152810.3%
 
0.1547410.3%
 
0.1566710.3%
 
0.1721510.3%
 
0.1760210.3%
 
ValueCountFrequency (%) 
0.926510.3%
 
0.9052210.3%
 
0.8820110.3%
 
0.8762110.3%
 
0.8665410.3%
 
0.858810.3%
 
0.8452610.3%
 
0.8297910.3%
 
0.8201210.3%
 
0.8162510.3%
 

20st_coordinate_ordinate
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count184
Unique (%)51.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5025140833333334
Minimum0.12963
Maximum0.8402799999999999
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:01.168314image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.12963
5-th percentile0.238314
Q10.4085625
median0.51157
Q30.61111
95-th percentile0.7062515
Maximum0.84028
Range0.71065
Interquartile range (IQR)0.2025475

Descriptive statistics

Standard deviation0.1436123444
Coefficient of variation (CV)0.2857877005
Kurtosis-0.3792416984
Mean0.5025140833
Median Absolute Deviation (MAD)0.09954
Skewness-0.3457804287
Sum180.90507
Variance0.02062450545
2020-08-25T01:41:01.287494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.4791782.2%
 
0.6851961.7%
 
0.4953751.4%
 
0.483851.4%
 
0.4236151.4%
 
0.5972251.4%
 
0.5509351.4%
 
0.3842641.1%
 
0.6481541.1%
 
0.4004641.1%
 
0.4027841.1%
 
0.4768541.1%
 
0.4699141.1%
 
0.5277841.1%
 
0.5370441.1%
 
0.5231541.1%
 
0.671330.8%
 
0.4328730.8%
 
0.3819430.8%
 
0.4814830.8%
 
0.6203730.8%
 
0.3518530.8%
 
0.6018530.8%
 
0.5671330.8%
 
0.6504630.8%
 
Other values (159)25871.7%
 
ValueCountFrequency (%) 
0.1296310.3%
 
0.1574110.3%
 
0.1597220.6%
 
0.1851910.3%
 
0.1898110.3%
 
0.1990710.3%
 
0.203710.3%
 
0.2060220.6%
 
0.2083310.3%
 
0.2129610.3%
 
ValueCountFrequency (%) 
0.8402810.3%
 
0.8032410.3%
 
0.7893510.3%
 
0.7800920.6%
 
0.7708310.3%
 
0.7592620.6%
 
0.7569410.3%
 
0.7546310.3%
 
0.7476910.3%
 
0.7384310.3%
 

33st_coordinate_ordinate
Real number (ℝ≥0)

Distinct count185
Unique (%)51.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5092981027777778
Minimum0.0
Maximum0.8240700000000001
Zeros1
Zeros (%)0.3%
Memory size2.9 KiB
2020-08-25T01:41:01.412227image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.26157
Q10.40683
median0.50694
Q30.63715
95-th percentile0.736226
Maximum0.82407
Range0.82407
Interquartile range (IQR)0.23032

Descriptive statistics

Standard deviation0.1510430285
Coefficient of variation (CV)0.2965709625
Kurtosis-0.553265395
Mean0.5092981028
Median Absolute Deviation (MAD)0.115745
Skewness-0.1982922989
Sum183.347317
Variance0.02281399646
2020-08-25T01:41:01.525315image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.4606571.9%
 
0.4421361.7%
 
0.4236161.7%
 
0.4143551.4%
 
0.4351951.4%
 
0.6435251.4%
 
0.6342651.4%
 
0.6504641.1%
 
0.3726941.1%
 
0.3217641.1%
 
0.4259341.1%
 
0.5601941.1%
 
0.2731541.1%
 
0.7245441.1%
 
0.7384341.1%
 
0.578741.1%
 
0.3356541.1%
 
0.516241.1%
 
0.6574141.1%
 
0.4930641.1%
 
0.7407430.8%
 
0.3194430.8%
 
0.5763930.8%
 
0.5138930.8%
 
0.6157430.8%
 
Other values (160)25470.6%
 
ValueCountFrequency (%) 
010.3%
 
0.09490710.3%
 
0.1388910.3%
 
0.1990710.3%
 
0.2013910.3%
 
0.203710.3%
 
0.2060210.3%
 
0.2106510.3%
 
0.2199110.3%
 
0.2222210.3%
 
ValueCountFrequency (%) 
0.8240710.3%
 
0.8032410.3%
 
0.7986110.3%
 
0.7939810.3%
 
0.7708320.6%
 
0.7638910.3%
 
0.7592610.3%
 
0.7546320.6%
 
0.7523110.3%
 
0.7407430.8%
 

6st_coordinate_abcissa
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count211
Unique (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5597464722222223
Minimum0.10057999999999999
Maximum0.9323
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:01.639070image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.10058
5-th percentile0.19729
Q10.4400425
median0.55996
Q30.7064825
95-th percentile0.83559
Maximum0.9323
Range0.83172
Interquartile range (IQR)0.26644

Descriptive statistics

Standard deviation0.188805431
Coefficient of variation (CV)0.337305263
Kurtosis-0.5635838772
Mean0.5597464722
Median Absolute Deviation (MAD)0.139265
Skewness-0.3200219027
Sum201.50873
Variance0.03564749078
2020-08-25T01:41:01.738049image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.4487451.4%
 
0.8355951.4%
 
0.3636451.4%
 
0.6247651.4%
 
0.5106451.4%
 
0.4003951.4%
 
0.5512641.1%
 
0.7969141.1%
 
0.6557141.1%
 
0.5048441.1%
 
0.7079341.1%
 
0.4835641.1%
 
0.5493241.1%
 
0.4177941.1%
 
0.7582241.1%
 
0.6421741.1%
 
0.5667330.8%
 
0.7988430.8%
 
0.6653830.8%
 
0.4622830.8%
 
0.4738930.8%
 
0.4951630.8%
 
0.4119930.8%
 
0.5976830.8%
 
0.6847230.8%
 
Other values (186)26373.1%
 
ValueCountFrequency (%) 
0.1005820.6%
 
0.1276610.3%
 
0.135410.3%
 
0.141220.6%
 
0.1450710.3%
 
0.1489410.3%
 
0.1586110.3%
 
0.1644110.3%
 
0.1663410.3%
 
0.1779510.3%
 
ValueCountFrequency (%) 
0.932310.3%
 
0.9148910.3%
 
0.8994210.3%
 
0.8858810.3%
 
0.8820110.3%
 
0.8762110.3%
 
0.864610.3%
 
0.8607410.3%
 
0.858810.3%
 
0.8568710.3%
 

23st_coordinate_abcissa
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count206
Unique (%)57.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5103913638888888
Minimum0.088975
Maximum0.88008
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:01.846549image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.088975
5-th percentile0.20696
Q10.37524
median0.525145
Q30.63636
95-th percentile0.76209
Maximum0.88008
Range0.791105
Interquartile range (IQR)0.26112

Descriptive statistics

Standard deviation0.1706175981
Coefficient of variation (CV)0.3342877843
Kurtosis-0.6624498668
Mean0.5103913639
Median Absolute Deviation (MAD)0.128625
Skewness-0.2438934135
Sum183.740891
Variance0.02911036479
2020-08-25T01:41:01.967439image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.3713751.4%
 
0.5222451.4%
 
0.5551351.4%
 
0.6615151.4%
 
0.4835651.4%
 
0.3636441.1%
 
0.5938141.1%
 
0.5918841.1%
 
0.3752441.1%
 
0.6731141.1%
 
0.644141.1%
 
0.4584141.1%
 
0.7330841.1%
 
0.6015541.1%
 
0.5280541.1%
 
0.7369441.1%
 
0.2572530.8%
 
0.6344330.8%
 
0.6305630.8%
 
0.4990330.8%
 
0.5686730.8%
 
0.4758230.8%
 
0.4003930.8%
 
0.4777630.8%
 
0.5976830.8%
 
Other values (181)26473.3%
 
ValueCountFrequency (%) 
0.08897510.3%
 
0.09864610.3%
 
0.1257320.6%
 
0.141210.3%
 
0.14710.3%
 
0.1566710.3%
 
0.1798810.3%
 
0.1856910.3%
 
0.1876210.3%
 
0.1914910.3%
 
ValueCountFrequency (%) 
0.8800810.3%
 
0.8762110.3%
 
0.858810.3%
 
0.85310.3%
 
0.8413910.3%
 
0.8220510.3%
 
0.8123810.3%
 
0.8104410.3%
 
0.8065810.3%
 
0.8027110.3%
 

41st_coordinate_ordinate
Real number (ℝ≥0)

Distinct count196
Unique (%)54.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.47481361944444445
Minimum0.076389
Maximum0.8310200000000001
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:02.098058image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.076389
5-th percentile0.1756985
Q10.35417
median0.48611
Q30.5978
95-th percentile0.727313
Maximum0.83102
Range0.754631
Interquartile range (IQR)0.24363

Descriptive statistics

Standard deviation0.1726850815
Coefficient of variation (CV)0.3636902448
Kurtosis-0.6932893998
Mean0.4748136194
Median Absolute Deviation (MAD)0.125
Skewness-0.2083023686
Sum170.932903
Variance0.02982013737
2020-08-25T01:41:02.215602image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.3935251.4%
 
0.5902851.4%
 
0.5416751.4%
 
0.4629651.4%
 
0.4976941.1%
 
0.5185241.1%
 
0.6990741.1%
 
0.5810241.1%
 
0.5509341.1%
 
0.5231541.1%
 
0.5671341.1%
 
0.4351941.1%
 
0.7199141.1%
 
0.4861141.1%
 
0.2361141.1%
 
0.4444441.1%
 
0.4583330.8%
 
0.3680630.8%
 
0.3634330.8%
 
0.3240730.8%
 
0.2615730.8%
 
0.4027830.8%
 
0.4814830.8%
 
0.6111130.8%
 
0.3402830.8%
 
Other values (171)26573.6%
 
ValueCountFrequency (%) 
0.07638910.3%
 
0.08101920.6%
 
0.08564810.3%
 
0.09027810.3%
 
0.1064810.3%
 
0.1180610.3%
 
0.12510.3%
 
0.1342610.3%
 
0.1504620.6%
 
0.1550920.6%
 
ValueCountFrequency (%) 
0.8310210.3%
 
0.828710.3%
 
0.8078710.3%
 
0.8009320.6%
 
0.7870420.6%
 
0.7777810.3%
 
0.7731510.3%
 
0.7638910.3%
 
0.7592630.8%
 
0.7569410.3%
 

18st_coordinate_ordinate
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count179
Unique (%)49.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5007522499999999
Minimum0.14815
Maximum0.8402799999999999
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:02.347819image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.14815
5-th percentile0.2128445
Q10.40278
median0.51852
Q30.60648
95-th percentile0.7108815
Maximum0.84028
Range0.69213
Interquartile range (IQR)0.2037

Descriptive statistics

Standard deviation0.149483008
Coefficient of variation (CV)0.2985168973
Kurtosis-0.4728692651
Mean0.50075225
Median Absolute Deviation (MAD)0.09259
Skewness-0.4146590664
Sum180.27081
Variance0.02234516968
2020-08-25T01:41:02.470092image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.6111192.5%
 
0.5023161.7%
 
0.5578761.7%
 
0.6064861.7%
 
0.5879661.7%
 
0.5648151.4%
 
0.6296351.4%
 
0.4976951.4%
 
0.6018551.4%
 
0.5972251.4%
 
0.4722241.1%
 
0.2407441.1%
 
0.687541.1%
 
0.4791741.1%
 
0.6041741.1%
 
0.5995441.1%
 
0.6481541.1%
 
0.5185241.1%
 
0.4745441.1%
 
0.5416741.1%
 
0.4629641.1%
 
0.4027841.1%
 
0.4768541.1%
 
0.3726930.8%
 
0.4282430.8%
 
Other values (154)24467.8%
 
ValueCountFrequency (%) 
0.1481510.3%
 
0.1597210.3%
 
0.1643510.3%
 
0.171310.3%
 
0.1759310.3%
 
0.1805620.6%
 
0.1967630.8%
 
0.1990710.3%
 
0.203730.8%
 
0.2060220.6%
 
ValueCountFrequency (%) 
0.8402810.3%
 
0.8171310.3%
 
0.7870420.6%
 
0.7847210.3%
 
0.7592630.8%
 
0.7569420.6%
 
0.7546310.3%
 
0.7268520.6%
 
0.7245410.3%
 
0.7222210.3%
 

29st_coordinate_abcissa
Real number (ℝ≥0)

Distinct count214
Unique (%)59.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5101117277777778
Minimum0.048356
Maximum0.89749
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:02.592492image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.048356
5-th percentile0.2222465
Q10.3747575
median0.52611
Q30.640715
95-th percentile0.76625
Maximum0.89749
Range0.849134
Interquartile range (IQR)0.2659575

Descriptive statistics

Standard deviation0.1764216845
Coefficient of variation (CV)0.345849105
Kurtosis-0.622868311
Mean0.5101117278
Median Absolute Deviation (MAD)0.13733
Skewness-0.1525254016
Sum183.640222
Variance0.03112461076
2020-08-25T01:41:02.695442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.3791151.4%
 
0.576441.1%
 
0.5976841.1%
 
0.1431341.1%
 
0.3945841.1%
 
0.70641.1%
 
0.2417841.1%
 
0.6286341.1%
 
0.6673141.1%
 
0.6537730.8%
 
0.2978730.8%
 
0.3733130.8%
 
0.2011630.8%
 
0.6054230.8%
 
0.7446830.8%
 
0.5280530.8%
 
0.6305630.8%
 
0.5493230.8%
 
0.3230230.8%
 
0.4023230.8%
 
0.491330.8%
 
0.5841430.8%
 
0.4796930.8%
 
0.5319130.8%
 
0.3462330.8%
 
Other values (189)27576.4%
 
ValueCountFrequency (%) 
0.04835620.6%
 
0.1199210.3%
 
0.1218620.6%
 
0.1431341.1%
 
0.1566710.3%
 
0.1798810.3%
 
0.1856910.3%
 
0.2011630.8%
 
0.2127720.6%
 
0.2185710.3%
 
ValueCountFrequency (%) 
0.8974910.3%
 
0.8800810.3%
 
0.8781410.3%
 
0.8704110.3%
 
0.8684710.3%
 
0.864610.3%
 
0.8626710.3%
 
0.858810.3%
 
0.8336610.3%
 
0.8317210.3%
 

44st_coordinate_abcissa
Real number (ℝ≥0)

Distinct count228
Unique (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4902592055555556
Minimum0.011604999999999999
Maximum0.98839
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:02.805841image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.011605
5-th percentile0.1604435
Q10.31963
median0.47969
Q30.66731
95-th percentile0.8551235
Maximum0.98839
Range0.976785
Interquartile range (IQR)0.34768

Descriptive statistics

Standard deviation0.2187528236
Coefficient of variation (CV)0.446198299
Kurtosis-0.8546498851
Mean0.4902592056
Median Absolute Deviation (MAD)0.17892
Skewness0.06483282899
Sum176.493314
Variance0.04785279783
2020-08-25T01:41:02.910654image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.8626751.4%
 
0.491341.1%
 
0.4003941.1%
 
0.3462341.1%
 
0.3384941.1%
 
0.1760241.1%
 
0.4951641.1%
 
0.5822130.8%
 
0.429430.8%
 
0.2282430.8%
 
0.4526130.8%
 
0.4874330.8%
 
0.4758230.8%
 
0.4777630.8%
 
0.2669230.8%
 
0.4584130.8%
 
0.6827930.8%
 
0.6673130.8%
 
0.632530.8%
 
0.4990330.8%
 
0.4545530.8%
 
0.1895630.8%
 
0.3636430.8%
 
0.5319130.8%
 
0.7369430.8%
 
Other values (203)27776.9%
 
ValueCountFrequency (%) 
0.01160510.3%
 
0.03094820.6%
 
0.07156720.6%
 
0.07736910.3%
 
0.08704110.3%
 
0.08897510.3%
 
0.09477810.3%
 
0.09864610.3%
 
0.1295910.3%
 
0.1315320.6%
 
ValueCountFrequency (%) 
0.9883910.3%
 
0.9729210.3%
 
0.9342410.3%
 
0.920710.3%
 
0.9168310.3%
 
0.9032910.3%
 
0.8994220.6%
 
0.8916810.3%
 
0.8897510.3%
 
0.8820110.3%
 

7st_coordinate_abcissa
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count217
Unique (%)60.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5541907777777778
Minimum0.10445
Maximum0.93424
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:03.027276image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.10445
5-th percentile0.1971935
Q10.43133
median0.55706
Q30.69826
95-th percentile0.8337565
Maximum0.93424
Range0.82979
Interquartile range (IQR)0.26693

Descriptive statistics

Standard deviation0.1851523541
Coefficient of variation (CV)0.334094975
Kurtosis-0.5626179416
Mean0.5541907778
Median Absolute Deviation (MAD)0.13346
Skewness-0.2777723969
Sum199.50868
Variance0.03428139421
2020-08-25T01:41:03.127350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.5145161.7%
 
0.4487461.7%
 
0.4023251.4%
 
0.4893641.1%
 
0.6750541.1%
 
0.4177941.1%
 
0.4081241.1%
 
0.4313341.1%
 
0.5570641.1%
 
0.4622841.1%
 
0.7969130.8%
 
0.5686730.8%
 
0.8355930.8%
 
0.8413930.8%
 
0.6595730.8%
 
0.6131530.8%
 
0.6808530.8%
 
0.4854930.8%
 
0.1953630.8%
 
0.508730.8%
 
0.6228230.8%
 
0.4835630.8%
 
0.7582230.8%
 
0.6170230.8%
 
0.6557130.8%
 
Other values (192)27075.0%
 
ValueCountFrequency (%) 
0.1044510.3%
 
0.1218610.3%
 
0.1257310.3%
 
0.1334610.3%
 
0.1450710.3%
 
0.14710.3%
 
0.1605410.3%
 
0.1624810.3%
 
0.1644110.3%
 
0.1663410.3%
 
ValueCountFrequency (%) 
0.9342410.3%
 
0.8839510.3%
 
0.8800810.3%
 
0.8762110.3%
 
0.8665420.6%
 
0.8626720.6%
 
0.858810.3%
 
0.8549310.3%
 
0.8452610.3%
 
0.8413930.8%
 

3st_coordinate_abcissa
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count217
Unique (%)60.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5656403666666667
Minimum0.085106
Maximum0.9323
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:03.234873image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.085106
5-th percentile0.188883
Q10.4385875
median0.582205
Q30.720505
95-th percentile0.8395565
Maximum0.9323
Range0.847194
Interquartile range (IQR)0.2819175

Descriptive statistics

Standard deviation0.1978632833
Coefficient of variation (CV)0.3498040363
Kurtosis-0.5389950843
Mean0.5656403667
Median Absolute Deviation (MAD)0.143135
Skewness-0.4253402381
Sum203.630532
Variance0.03914987889
2020-08-25T01:41:03.338160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.8355971.9%
 
0.497161.7%
 
0.6595751.4%
 
0.4487451.4%
 
0.7098641.1%
 
0.8297941.1%
 
0.5048441.1%
 
0.5164441.1%
 
0.7021341.1%
 
0.5512641.1%
 
0.4990341.1%
 
0.2224430.8%
 
0.8027130.8%
 
0.5589930.8%
 
0.6363630.8%
 
0.2301730.8%
 
0.5783430.8%
 
0.6557130.8%
 
0.7466230.8%
 
0.3694430.8%
 
0.6847230.8%
 
0.7814330.8%
 
0.6170230.8%
 
0.6421730.8%
 
0.6112230.8%
 
Other values (192)26774.2%
 
ValueCountFrequency (%) 
0.08510610.3%
 
0.09864610.3%
 
0.1121910.3%
 
0.1160510.3%
 
0.1237910.3%
 
0.135410.3%
 
0.1431310.3%
 
0.1489410.3%
 
0.1566710.3%
 
0.1605420.6%
 
ValueCountFrequency (%) 
0.932310.3%
 
0.9245610.3%
 
0.9187610.3%
 
0.9013520.6%
 
0.8936210.3%
 
0.8839510.3%
 
0.8762110.3%
 
0.8723410.3%
 
0.864610.3%
 
0.8626710.3%
 

10st_coordinate_abcissa
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count217
Unique (%)60.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.528374361111111
Minimum0.12766
Maximum0.94391
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:03.454113image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.12766
5-th percentile0.2145065
Q10.39458
median0.51064
Q30.6716625
95-th percentile0.81238
Maximum0.94391
Range0.81625
Interquartile range (IQR)0.2770825

Descriptive statistics

Standard deviation0.184988044
Coefficient of variation (CV)0.3501079115
Kurtosis-0.8739451404
Mean0.5283743611
Median Absolute Deviation (MAD)0.14507
Skewness-0.06609161423
Sum190.21477
Variance0.03422057644
2020-08-25T01:41:03.569161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.4545561.7%
 
0.4738951.4%
 
0.3133551.4%
 
0.5241841.1%
 
0.4719541.1%
 
0.7814341.1%
 
0.3520341.1%
 
0.791141.1%
 
0.6557141.1%
 
0.6653841.1%
 
0.4584130.8%
 
0.7195430.8%
 
0.5009730.8%
 
0.7988430.8%
 
0.4700230.8%
 
0.3829830.8%
 
0.5976830.8%
 
0.5667330.8%
 
0.4197330.8%
 
0.1953630.8%
 
0.4042630.8%
 
0.4661530.8%
 
0.5106430.8%
 
0.4158630.8%
 
0.7408130.8%
 
Other values (192)27175.3%
 
ValueCountFrequency (%) 
0.1276610.3%
 
0.1295910.3%
 
0.1315310.3%
 
0.141210.3%
 
0.1566710.3%
 
0.1682810.3%
 
0.1702110.3%
 
0.1760220.6%
 
0.1876210.3%
 
0.1895610.3%
 
ValueCountFrequency (%) 
0.9439110.3%
 
0.8820110.3%
 
0.8742710.3%
 
0.8607410.3%
 
0.8549310.3%
 
0.8510610.3%
 
0.847210.3%
 
0.8375210.3%
 
0.8355910.3%
 
0.8297910.3%
 

15st_coordinate_abcissa
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count213
Unique (%)59.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49499791111111113
Minimum0.017408
Maximum0.91489
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:03.689951image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.017408
5-th percentile0.2048365
Q10.3476775
median0.494195
Q30.6528075
95-th percentile0.77369
Maximum0.91489
Range0.897482
Interquartile range (IQR)0.30513

Descriptive statistics

Standard deviation0.1870777233
Coefficient of variation (CV)0.3779363894
Kurtosis-0.9234336633
Mean0.4949979111
Median Absolute Deviation (MAD)0.1528
Skewness-0.04643699556
Sum178.199248
Variance0.03499807455
2020-08-25T01:41:03.791293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.4023251.4%
 
0.5473951.4%
 
0.3965251.4%
 
0.6189651.4%
 
0.4042641.1%
 
0.2243741.1%
 
0.3133541.1%
 
0.361741.1%
 
0.6073541.1%
 
0.6595741.1%
 
0.711830.8%
 
0.5570630.8%
 
0.2901430.8%
 
0.5435230.8%
 
0.6518430.8%
 
0.4719530.8%
 
0.3384930.8%
 
0.3849130.8%
 
0.6731130.8%
 
0.6015530.8%
 
0.2263130.8%
 
0.6924630.8%
 
0.4448730.8%
 
0.6421730.8%
 
0.6711830.8%
 
Other values (188)27175.3%
 
ValueCountFrequency (%) 
0.01740810.3%
 
0.05222410.3%
 
0.09864610.3%
 
0.1334610.3%
 
0.141210.3%
 
0.1431310.3%
 
0.1508710.3%
 
0.1779520.6%
 
0.1818210.3%
 
0.1876210.3%
 
ValueCountFrequency (%) 
0.9148910.3%
 
0.9052210.3%
 
0.8820110.3%
 
0.8704110.3%
 
0.858810.3%
 
0.8568710.3%
 
0.8452610.3%
 
0.8394610.3%
 
0.8104410.3%
 
0.8046420.6%
 

25st_coordinate_ordinate
Real number (ℝ≥0)

Distinct count179
Unique (%)49.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5268200000000001
Minimum0.13889
Maximum0.9583299999999999
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:04.091156image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.13889
5-th percentile0.2753445
Q10.43981
median0.52546
Q30.6394675
95-th percentile0.73843
Maximum0.95833
Range0.81944
Interquartile range (IQR)0.1996575

Descriptive statistics

Standard deviation0.1419719733
Coefficient of variation (CV)0.2694885792
Kurtosis-0.2575656093
Mean0.52682
Median Absolute Deviation (MAD)0.10185
Skewness-0.2498361542
Sum189.6552
Variance0.0201560412
2020-08-25T01:41:04.186906image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.5370471.9%
 
0.4976961.7%
 
0.4675951.4%
 
0.4444451.4%
 
0.5115751.4%
 
0.5555651.4%
 
0.391241.1%
 
0.6805641.1%
 
0.7291741.1%
 
0.4884341.1%
 
0.5069441.1%
 
0.608841.1%
 
0.4467641.1%
 
0.7106541.1%
 
0.4861141.1%
 
0.5254641.1%
 
0.6782441.1%
 
0.4907441.1%
 
0.421341.1%
 
0.6736141.1%
 
0.671341.1%
 
0.6574130.8%
 
0.766230.8%
 
0.6319430.8%
 
0.6435230.8%
 
Other values (154)25570.8%
 
ValueCountFrequency (%) 
0.1388910.3%
 
0.1597210.3%
 
0.1736110.3%
 
0.1828710.3%
 
0.2013930.8%
 
0.203710.3%
 
0.2152810.3%
 
0.2199110.3%
 
0.2314810.3%
 
0.233810.3%
 
ValueCountFrequency (%) 
0.9583310.3%
 
0.8310210.3%
 
0.796310.3%
 
0.7754620.6%
 
0.7685210.3%
 
0.766230.8%
 
0.7569420.6%
 
0.7546310.3%
 
0.7510.3%
 
0.7430630.8%
 

target
Real number (ℝ≥0)

Distinct count15
Unique (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Memory size2.9 KiB
2020-08-25T01:41:04.294394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q312
95-th percentile15
Maximum15
Range14
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.326507015
Coefficient of variation (CV)0.5408133769
Kurtosis-1.210845819
Mean8
Median Absolute Deviation (MAD)4
Skewness0
Sum2880
Variance18.71866295
2020-08-25T01:41:04.398913image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
15246.7%
 
14246.7%
 
13246.7%
 
12246.7%
 
11246.7%
 
10246.7%
 
9246.7%
 
8246.7%
 
7246.7%
 
6246.7%
 
5246.7%
 
4246.7%
 
3246.7%
 
2246.7%
 
1246.7%
 
ValueCountFrequency (%) 
1246.7%
 
2246.7%
 
3246.7%
 
4246.7%
 
5246.7%
 
6246.7%
 
7246.7%
 
8246.7%
 
9246.7%
 
10246.7%
 
ValueCountFrequency (%) 
15246.7%
 
14246.7%
 
13246.7%
 
12246.7%
 
11246.7%
 
10246.7%
 
9246.7%
 
8246.7%
 
7246.7%
 
6246.7%
 

Interactions

2020-08-25T01:40:04.690072image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:04.836691image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:04.973077image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:05.119059image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:05.249524image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:05.383708image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:05.521593image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:05.664294image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:05.795919image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:05.929712image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:06.080761image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:06.228588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:06.373736image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:06.509692image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:06.645922image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:06.779909image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:06.907915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:07.055695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:07.194300image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:07.331676image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:07.476390image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:07.607505image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:07.716287image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:07.841629image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:08.127147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:08.235384image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:08.346570image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:08.473484image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:08.590393image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:08.699153image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:08.832558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:08.965569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:09.087247image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:09.198727image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:09.319679image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:09.432854image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:09.546762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:09.677327image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:09.793880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:09.905359image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:10.024802image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:10.184370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:10.323562image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:10.480700image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:10.625082image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:10.763397image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:10.911429image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:11.070211image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:11.211927image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:11.345368image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:11.499533image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:11.653821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:11.813888image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:11.952143image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:12.098625image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:12.235908image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:12.557525image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:12.713797image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:12.852861image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:12.985910image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:13.132905image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:13.259412image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:13.369769image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:13.499758image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:13.612794image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:13.722746image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:13.842149image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:13.980363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:14.097118image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:14.206856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:14.334611image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:14.458866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:14.578863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:14.692395image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:14.828300image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:14.938377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:15.046793image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:15.175085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:15.285077image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:15.394085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:15.510173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:15.635676image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:15.744395image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:15.872804image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:15.990335image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:16.100858image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:16.216397image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:16.361240image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:16.480719image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:16.593065image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:16.918368image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:17.047918image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:17.173385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:17.290928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:17.411646image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:17.524207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:17.636377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:17.769824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:17.887883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:18.008325image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:18.128486image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:18.270929image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:18.387402image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:18.523964image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:18.643548image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:18.754241image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:18.869112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:19.005744image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:19.120484image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:19.234188image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:19.364895image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:19.497337image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:19.622289image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:19.737200image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:19.869976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:19.986637image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:20.102067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:20.235195image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:20.352465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:20.464719image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:20.584398image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:20.726607image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:20.854305image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:21.188707image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:21.316429image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:21.442842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:21.571837image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:21.715688image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:21.848825image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:21.976764image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:22.122942image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:22.267303image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:22.403591image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:22.530725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:22.666430image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:22.813203image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:22.946712image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:23.103260image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:23.241212image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:23.379528image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:23.520325image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:23.646976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:23.769181image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:23.910436image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:24.029787image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:24.148086image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:24.268310image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:24.400141image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:24.523293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:24.638913image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:24.774323image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:40:52.974672image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:53.097004image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:53.217351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:53.342457image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:53.472182image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:53.585325image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:53.718644image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:53.833447image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:53.951866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:54.069095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:54.199757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:54.316251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:54.428112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:54.560657image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:54.691819image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:54.815940image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:54.928216image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:55.047965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:55.164051image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:55.280602image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:55.415199image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:55.531765image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:55.647876image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:55.771630image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:55.912324image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:56.049318image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:56.398917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:56.523873image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:56.678358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:56.867641image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:57.006581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:57.134125image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:57.262175image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:57.405454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:57.543873image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:57.680498image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:57.805209image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:57.939505image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:58.064055image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:58.189053image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:58.333957image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:58.464180image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:58.589837image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T01:41:04.546603image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T01:41:04.956598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T01:41:05.358176image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T01:41:05.756402image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T01:40:58.874975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:40:59.416150image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

21st_coordinate_abcissa12st_coordinate_abcissa28st_coordinate_ordinate36st_coordinate_abcissa1st_coordinate_abcissa14st_coordinate_abcissa20st_coordinate_ordinate33st_coordinate_ordinate6st_coordinate_abcissa23st_coordinate_abcissa41st_coordinate_ordinate18st_coordinate_ordinate29st_coordinate_abcissa44st_coordinate_abcissa7st_coordinate_abcissa3st_coordinate_abcissa10st_coordinate_abcissa15st_coordinate_abcissa25st_coordinate_ordinatetarget
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10.183750.330750.268520.491300.678920.214700.680560.273150.663440.290140.574070.756940.706000.170210.638300.680850.471950.1818200.287041
20.558990.309480.270830.280460.721470.263060.351850.597220.715670.731140.305560.557870.549320.735010.675050.723400.427470.2611200.314811
30.235980.177950.289350.176020.564800.102510.423610.335650.551260.398450.490740.597220.620890.410060.522240.560930.311410.0986460.252311
40.746620.473890.259260.444870.671180.479690.243060.465280.659570.876210.763890.384260.698260.477760.617020.673110.466150.4487400.449071
50.613150.410060.300930.415860.833660.427470.546300.613430.800770.787230.511570.435190.870410.746620.731140.829790.471950.4468100.398151
60.442940.365570.611110.263060.715670.255320.548610.518520.713730.624760.611110.650460.738880.491300.694390.709860.539650.2185700.564811
70.700190.313350.446760.292070.775630.311410.439810.548610.642170.733080.458330.458330.586070.663440.543520.779500.328820.3481600.601851
80.647970.311410.469910.177950.777560.295940.432870.511570.651840.746620.469910.451390.667310.632500.562860.773690.346230.2901400.615741
90.657640.274660.453700.168280.744680.251450.474540.638890.657640.738880.458330.462960.529980.665380.591880.746620.365570.2611200.643521

Last rows

21st_coordinate_abcissa12st_coordinate_abcissa28st_coordinate_ordinate36st_coordinate_abcissa1st_coordinate_abcissa14st_coordinate_abcissa20st_coordinate_ordinate33st_coordinate_ordinate6st_coordinate_abcissa23st_coordinate_abcissa41st_coordinate_ordinate18st_coordinate_ordinate29st_coordinate_abcissa44st_coordinate_abcissa7st_coordinate_abcissa3st_coordinate_abcissa10st_coordinate_abcissa15st_coordinate_abcissa25st_coordinate_ordinatetarget
3500.410060.195360.208330.899420.201160.212770.254630.405090.197290.487430.592590.305560.738880.882010.201160.199230.195360.226310.1828715
3510.230170.189560.340280.528050.168280.185690.381940.314810.177950.261120.328700.395830.377180.653770.177950.172150.187620.195360.3588015
3520.195360.152800.344910.348160.129590.148940.395830.319440.127660.205030.259260.405090.259190.497100.125730.123790.131530.150870.3703715
3530.359770.230170.192130.783370.214700.237910.365740.210650.203090.411990.388890.416670.560930.920700.195360.210830.214700.241780.2384315
3540.613150.613150.717590.551260.611220.613150.759260.643520.613150.613150.541670.759260.605420.458410.613150.613150.613150.613150.7430615
3550.663440.659570.731480.613150.659570.661510.780090.650460.655710.661510.550930.787040.638300.551260.659570.659570.659570.659570.7754615
3560.646030.640230.638890.605420.640230.640230.706020.578700.642170.644100.504630.710650.634430.531910.640230.642170.640230.642170.6713015
3570.613150.613150.717590.551260.611220.613150.759260.643520.613150.613150.541670.759260.605420.458410.613150.613150.613150.613150.7430615
3580.663440.659570.731480.613150.659570.661510.780090.650460.655710.661510.550930.787040.638300.551260.659570.659570.659570.659570.7754615
3590.646030.640230.638890.605420.640230.640230.706020.578700.642170.644100.504630.710650.634430.531910.640230.642170.640230.642170.6713015

Duplicate rows

Most frequent

21st_coordinate_abcissa12st_coordinate_abcissa28st_coordinate_ordinate36st_coordinate_abcissa1st_coordinate_abcissa14st_coordinate_abcissa20st_coordinate_ordinate33st_coordinate_ordinate6st_coordinate_abcissa23st_coordinate_abcissa41st_coordinate_ordinate18st_coordinate_ordinate29st_coordinate_abcissa44st_coordinate_abcissa7st_coordinate_abcissa3st_coordinate_abcissa10st_coordinate_abcissa15st_coordinate_abcissa25st_coordinate_ordinatetargetcount
00.174080.408120.587960.2205000.448740.363640.402780.703700.448740.125730.759260.398150.0483560.4564800.448740.448740.433270.338490.4861142
10.228240.404260.641200.4971000.417790.379110.476850.770830.417790.199230.608800.472220.2011600.4951600.417790.417790.415860.361700.5555662
20.241780.464220.587960.3926500.526110.421660.437500.696760.522240.212770.722220.402780.2127700.5551300.520310.526110.495160.396520.5115742
30.245650.218570.699070.3829800.234040.220500.625000.729170.224370.257250.726850.604170.3036800.4874300.222440.230170.218570.224370.67130142
40.247580.338490.435190.0870410.367500.321080.402780.460650.363640.220500.541670.402780.1431300.0715670.361700.365570.352030.313350.4213042
50.247580.377180.525460.1470000.369440.365570.469910.689810.371370.203090.800930.493060.1218600.3152800.369440.369440.373310.355900.4838062
60.303680.448740.555560.2475800.446810.442940.453700.738430.448740.245650.787040.476850.1431300.4777600.450680.446810.452610.437140.5115762
70.307540.504840.560190.2243700.586070.450680.701390.513890.586070.303680.567130.629630.2978700.1895600.574470.586070.531910.425530.67361102
80.313350.307540.553240.4777600.311410.307540.465280.643520.313350.315280.717590.465280.3462300.6943900.313350.311410.313350.309480.50926142
90.317210.255320.696760.6634400.261120.255320.648150.638890.261120.371370.511570.611110.5570600.6692500.263060.263060.259190.257250.68981142